Grapenet: a lightweight convolutional neural network model for identification of grape leaf diseases

HIGHLIGHTS

• who: Jianwu Lin and colleagues from the College of Big Data and Information Engineering, Guizhou University, Guiyang, China have published the article: GrapeNet: A Lightweight Convolutional Neural Network Model for Identification of Grape Leaf Diseases, in the Journal: Agriculture 2022, 12, x FOR PEER REVIEW of /2022/
• what: The authors propose lightweight CNN model called for the identification of different symptom stages for specific grape diseases. In this approach, a dense connectivity strategy was introduced to encourage feature reuse and strengthen feature propagation. Thethat objective of symptoms of the same grape disease were divided into . . .
  

   

  

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